How AI is changing the way consumers discover brands

Artificial intelligence is changing how people search for information, evaluate products, and discover brands. Instead of relying only on search engines, advertisements, or recommendations from friends, consumers can now ask AI tools direct questions and receive answers based on their specific needs.

This shift is already influencing brand discovery. Adobe found that 36% of surveyed U.S. consumers who use ChatGPT had discovered a new product or brand through the platform, with the figure rising to 47% among Gen Z respondents. At the same time, AI-powered search is becoming an increasingly important part of the consumer journey as people use tools such as ChatGPT, Gemini, and other AI assistants to research brands and products.

The result is a fundamental change in how brands enter the consideration set. Consumers no longer have to search for a specific brand to discover it. They can describe what they need and let AI introduce them to possible options.

AI is turning search into a conversation

Traditional search required consumers to choose keywords and sort through multiple results. AI search changes this interaction by allowing people to describe what they want in complete sentences and in the language they are most comfortable using.

For example, instead of searching for “best sunscreen SPF 50 under ₹500,” an Indian consumer might ask, “Dry skin ke liye SPF 50 sunscreen under ₹500 kaunsa best hai?”

The question includes information about skin type, product category, price, and desired protection. An AI tool can interpret these requirements together and present options based on the information available to it. This does not mean traditional search is disappearing. Consumers continue to use search engines, websites, and other sources to verify information. However, AI is changing the starting point of discovery. Instead of looking through a list of links, consumers can begin with a question and receive a structured response. For brands, this makes being relevant to a consumer's question increasingly important.

AI shopping assistants are changing product evaluation

AI is also becoming part of the shopping experience itself. Instead of browsing hundreds of products, consumers can use AI shopping assistants to compare features, understand differences, and narrow down their choices.

Amazon, for example, has introduced AI-powered shopping features designed to help customers research product categories and compare options. For consumers, this simplifies product research. For brands, it creates an opportunity to be considered even when they are not already on the shopper's radar.

Consider a consumer searching for:

“A lightweight moisturiser for oily skin under ₹800.”

They may not have a particular brand in mind. If an AI assistant identifies a lesser-known moisturiser as a suitable option, that brand has entered the consumer's consideration without having to be searched for directly.

This changes the starting point for many purchase journeys. Instead of beginning with a brand name, consumers can begin with a need, allowing AI to help shape the options they consider.

Recommendations are becoming more contextual

Recommendations are not new. Streaming platforms suggest movies based on viewing history, music platforms recommend songs based on listening behaviour, and e-commerce websites suggest products based on browsing and purchase history. Generative AI is taking recommendations a step further by allowing consumers to explain the context behind what they need.

Someone looking for an outfit, for example, can describe the occasion, preferred style, colour, budget, and even weather conditions. Instead of simply displaying products similar to something they have previously viewed, an AI assistant can use those details to create a more relevant selection.

This makes recommendations more contextual. Rather than simply saying “You may also like this,” an AI tool can explain why particular options may suit the requirements a consumer has described.

However, relevance alone is not enough. Consumers also need confidence that the information being presented is accurate. For brands, this means accurate information, genuine reviews, and consistent product details are becoming important parts of digital visibility.

Brands need to become easier for AI to understand

One of the biggest changes for marketers is that consumers may not visit a brand's website before forming an opinion about it. An AI tool could summarize a product, compare it with competitors, and answer questions about its features without the consumer ever visiting the brand's website.

As a result, the definition of online discoverability is changing.

Brands need to make sure their information is:

• clear and easy to understand

• consistent across websites and marketplaces

• supported by accurate product specifications

• updated regularly

• backed by useful customer reviews

• structured so search engines and AI systems can understand it

  
  

This is where traditional SEO and emerging AI visibility strategies begin to overlap. The goal is no longer only to rank for a broad search such as “best skincare brands.” Brands also need to provide enough useful information to answer specific questions such as “What is the best moisturiser for sensitive skin under ₹1,000?”

The more clearly a brand communicates its products, benefits, and use cases, the easier it becomes for digital systems to understand when that brand is relevant. For marketers, this means creating content around the questions consumers actually ask, rather than simply producing more content for the sake of visibility.

The road ahead

As AI becomes a bigger part of everyday decision-making, brand visibility will depend on more than traditional marketing channels. Consumers may not always arrive at a brand through an advertisement, a search result, or a social media post. Sometimes, the first introduction could come from an AI-generated recommendation. For marketers, this creates a new question: Is your brand easy for AI to understand, trust, and recommend?

Brands that invest in clear product information, useful content, credible reviews, and a strong digital presence will be better positioned to become part of these conversations. The opportunity is not simply to appear in more places, but to provide the kind of information that helps consumers make confident decisions.

In the age of AI, being discoverable is no longer just about being visible. It is about being relevant when the right question is asked.